Pith. sign in

Paper Citation Record · LEDGER

Large Language Models as General Pattern Machines

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2307.04721.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2307.04721 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:41:02.350367Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-19T04:07:02.013603Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab36d4ea-15cd-49d5-8ad0-de7147090326 · inbound

Large Language Models as Optimizers cites this paper.

Large Language Models as Optimizers Large Language Models as General Pattern Machines

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T00:04:31.307491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:04:31.212102Z digest=sha256:413da72cea1ffdbb43f588dcc515d3400da90d74005bed366d286ed946e17728

Observation 2056e0e5-a596-470c-9697-02a750c152fd · inbound

Language Modeling Is Compression cites this paper.

Language Modeling Is Compression Large Language Models as General Pattern Machines

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T22:36:13.470532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T22:36:13.392250Z digest=sha256:b5ce822c2c9b5c2d1e8198c27542007d6fd5ed560085997da370efd5b2141577

Observation d1e54f1d-38eb-4535-9bae-616153fcc475 · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction Large Language Models as General Pattern Machines

Reference 226

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T14:25:59.052642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T14:25:58.876978Z digest=sha256:4fff8d621cf44b5430b293a5fa3d7c7557f7a7004ce45f6a985b50f8cac56879

Observation e776db5e-5e9c-4a54-99b5-593749430dc0 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Large Language Models as General Pattern Machines

Reference 286

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T06:03:56.842975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T06:03:56.328012Z digest=sha256:302cec87942c9e041d603cb02a5b189ceb751cfb79f3d5065fe96b2fda9a8edd

Observation a4b1ae9d-cee1-4b89-a072-f3172eef6d0e · inbound

Shuttle Between the Instructions and the Parameters of Large Language Models cites this paper.

Shuttle Between the Instructions and the Parameters of Large Language Models Large Language Models as General Pattern Machines

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T12:41:02.350367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:41:02.350367Z digest=sha256:ad339b2d4c371f8d26937eb99cb32e8466946c5d69e9bcf5a8ae5a602b5a9755

Observation 1b8be102-a248-448c-864d-abb3f38eb1be · inbound

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes cites this paper.

Leveraging GPT-4o Efficiency for Detecting Rework Anomaly in Business Processes Large Language Models as General Pattern Machines

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T15:05:59.909875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:05:59.909875Z digest=sha256:502fe41ba9bb9867d845d9530e2c3e352e1d3e658245b068abbcbc80e09e9768

Observation 7d1eda56-fb43-4ee9-bfff-ebba9e503ed8 · inbound

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding cites this paper.

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding Large Language Models as General Pattern Machines

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T23:12:23.450662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:12:23.450662Z digest=sha256:40c6b1ab14903eb9b9e785fad63df293796b8d66fc1e979178b9977602136695

Observation bb87fb96-c31e-44e7-804d-cd418c43ce9a · inbound

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis cites this paper.

SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis Large Language Models as General Pattern Machines

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:19.898701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:19.898701Z digest=sha256:07eac0c63b704ec2a5b46a3adf8b32010088437858d0ab5919fa9908a97cba9d

Observation e7023d69-6b36-4ca7-9ec7-eaf18f24f691 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? Large Language Models as General Pattern Machines

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T12:20:45.871410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:45.871410Z digest=sha256:ca6e2c7f08601c3d1681450ebfc6bf94aee48b6fa04f092d7e3d998149c45b16

Observation 813cae08-739f-4857-a6c0-d1ebc9eedb3b · inbound

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation cites this paper.

Reducing Latency in LLM-Based Natural Language Commands Processing for Robot Navigation Large Language Models as General Pattern Machines

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T12:41:40.232622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:41:40.232622Z digest=sha256:5fdef69f0c0813b76216f32bfe947e05482c97b54721357340fa2f98256e09b7

Observation f0a075df-f788-413b-b3d5-1ec21f4e1f96 · inbound

On the Surprising Efficacy of LLMs for Penetration-Testing cites this paper.

On the Surprising Efficacy of LLMs for Penetration-Testing Large Language Models as General Pattern Machines

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T21:10:06.598563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:10:06.598563Z digest=sha256:29ae7c3d6dd97438f59378be7d61acf630fb7238857cf1169c01bf3edff6d7d6

Observation 83e81cc2-3f92-4535-be17-a1646b16d8a8 · inbound

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding cites this paper.

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding Large Language Models as General Pattern Machines

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:07:02.015667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T04:03:29.765482Z digest=sha256:a1527dc5bc35ae46401b46db55055909d1642d7720bf596c3cd0981e7abbf693

Observation 0bd817ca-56f3-4187-b321-380663caa900 · inbound

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem cites this paper.

HuggingGraph: Understanding the Supply Chain of LLM Ecosystem Large Language Models as General Pattern Machines

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:09.355118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:09.355118Z digest=sha256:19e10eec81132e327ee27165c7bfeab730e4aedf914b2d94b565101ad0bd6841

Observation a6a32945-5888-4bbb-bfeb-3e13503d7301 · inbound

Systematic Evaluation of Knowledge Graph Repair with Large Language Models cites this paper.

Systematic Evaluation of Knowledge Graph Repair with Large Language Models Large Language Models as General Pattern Machines

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T11:49:15.993929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:49:15.993929Z digest=sha256:c29e03a4ed966a0328f71707bbbae3b47ff04d41da23be708bf75bb6675d2fc0

Observation 98ebe19d-da34-4ac3-bed3-34796327e04c · inbound

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction cites this paper.

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction Large Language Models as General Pattern Machines

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-05T13:02:25.674181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:02:25.674181Z digest=sha256:02466b9416f8a8e5a484614a887b89318ea12299f94f20e7a0615d33155933ff

Observation 9b9bb2b4-2d6c-4949-b389-7e2e2e69147e · inbound

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm cites this paper.

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm Large Language Models as General Pattern Machines

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T05:31:06.612946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:31:06.612946Z digest=sha256:e1b41f07d80d5c5e1b6c79adef13bbd281ea1511d599f83f754e7f0311a13980

Observation de6e0a06-5604-4d58-aa14-4c6cc7eca472 · inbound

Can Large Language Models Generalize Procedures Across Representations? cites this paper.

Can Large Language Models Generalize Procedures Across Representations? Large Language Models as General Pattern Machines

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T05:00:58.255516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:00:58.255516Z digest=sha256:900c3593e5d5119b35b7661f5413536c1881601ab27cf117a780a17d45d27b31

Observation 3bc93984-6441-4ccc-8214-dd8de53277ea · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages Large Language Models as General Pattern Machines

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:56:11.437277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:29:33.858344Z digest=sha256:8cd4ac4cec1ddc9cbd61910f7e0f5c7d9f59679ff8e8eef9dca6a453737985c8

Observation 9998a727-e638-49ac-8e31-12fcfdc526ed · inbound

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning cites this paper.

Large Language Models for Sequential Decision-Making: Improving In-Context Learning via Supervised Fine-Tuning Large Language Models as General Pattern Machines

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:41:17.197434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:40:49.844589Z digest=sha256:499e2b9e3be7105b47b09de0614b3f674e5aab432b1bf69b2d1b9146f6f2c263

Observation af2c28cd-5871-44d3-8890-a300c1c376ca · inbound

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention cites this paper.

Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention Large Language Models as General Pattern Machines

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-31T23:36:27.645292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T23:36:27.645292Z digest=sha256:b88d2181b4c1d1b31e4f27196c109bf2eda88a4f7011682ba58ca1d391197a6b